Ching-Hua Chen

Biography

Since 2015, I have been leading an interdisciplinary team of psychologists, data scientists and medical researchers, whose goal is to develop and test technology-enabled approaches to studying health behavior and patient decision-making. We want to use technology to increase the speed, breadth and accuracy with which practitioners can identify interventions for health behavior modification. We also want to improve our ability to quantify health behavior and patient experience through the analysis of various types of temporal data (e.g., from medical/health records, social platforms, wearable devices, IoT sensors).

Talks and Events

2022 Workshop: Healthcare and Life Sciences Symposium

We seek original contributions describing theoretical and practical methods and techniques for building and maintaining health knowledge graphs for the healthcare and life sciences domain. The symposium will cover topics around data integration, data profiling, data curation, querying, knowledge discovery, ontology mapping, matching, reconciliation, machine learning approaches, and applications. We will have several invited speakers who are thought leaders in the healthcare and life sciences space. Furthermore, we plan to have a panel discussion comprising experts from industry, government, and academia. In summary, the primary objectives of this symposium will be to provide a platform to discuss:

• Characterisation of healthcare and life sciences knowledge graphs
• Opportunities for the application of knowledge graphs in healthcare and life sciences
• Challenges of creating and maintaining such knowledge graphs
• Opportunities for knowledge graph research in this space